Ship Course Steering Predictive Control Based on RBF Neural Network

被引：0

作者：

Zhang, Xu ^{[1
]}

Guo, Chen ^{[2
]}

Ye, Guang ^{[2
]}

机构：

[1] Dalian Jiaotong Univ, Sch Mech Engn, Dalian 116028, Peoples R China

[2] Dalian Maritime Univ, Automat & Elect Engn Coll, Dalian 116026, Peoples R China

来源：

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年

关键词：

ship steering control; predictive control; RBF neural network;

D O I：

10.1109/WCICA.2008.4594199

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Because the ship steering control is uncertain, nonlinear and time-varying. A predictive control algorithm based on RBF neural network is adopted to the ship steering control. Recursive k-means clustering algorithm and recursive least squares algorithm are used to adjust the RBF neural network. And clonal selection algorithm is used in predictive control algorithm to ensure the global optimal solution. The simulation results show that the predictive control algorithm based on RBF neural network possesses good control performance and strong robustness.

引用

页码：8122 / +

页数：3